"The radiologist will report the scan as usual, but the algorithm will be running in parallel, looking at the image data that is captured and assessing whether there is something that needs to be reported or not."

This is perhaps not the case in the United States, where AI software that detects eye disease without specialist input has been given the go-ahead.

It's a new era of automated decision making that's sparking ethical dilemmas.

The new Privacy Bill is currently before select committee. The Privacy Commissioner wants it to include a new principle - algorithmic transparency, the right to explanation, meaning when machines make automated decisions you can ask how they were made.

But will we understand the answers we get?

"If we allow people to have this right of explanation, sometimes it can be a bit tricky," says lawyer Benjamin Liu from University of Auckland.

"When scientists or doctors make a decision based on this recommendation from machine learning and AI, they just cannot explain it."

Mercy Radiology is planning its algorithmic trial within the next few months, then we might see who can be trusted - man or machine.